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Hardware & Compute4 min read

Cornelis Networks launches open scale‑up networking to challenge Nvidia’s NVLink

Cornelis Networks, an Intel spin‑off, announced a move into scale‑up networking, targeting the high‑speed interconnects that link processors inside rack‑scale AI systems. The company unveiled its CN6000 family and said its new Active Compute Fabric architecture will provide an open alternative to Nvidia’s proprietary NVLink, aiming to improve utilization and flexibility for AI workloads.

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Key points

  • Cornelis Networks raised $205 million to develop its CN6000 family of scale‑up and scale‑out networking products.
  • The startup’s Active Compute Fabric aims to offer an open alternative to Nvidia’s proprietary NVLink for rack‑scale AI systems.
  • Cornelis hinted at a collaboration with Qualcomm, whose AI200 accelerator could pair with the new fabric for integrated AI infrastructure.

The rollout is backed by a fresh $205 million funding round and hints at a collaboration with Qualcomm, whose upcoming AI200 accelerator could be paired with Cornelis’s fabric. Industry analysts note growing interest in open standards like the UALink Consortium, which includes major cloud and chip makers, suggesting a broader shift away from vendor‑locked solutions.

If successful, Cornelis’s approach could give system integrators and enterprises more options for building rack‑scale AI platforms, potentially lowering costs and easing supply‑chain constraints that have long favored Nvidia’s ecosystem.

Full story from crn.com · by Dylan Martin · via Search: NVIDIAOpen source ↗

Cornelis Mounts Scale-Up Challenge To Nvidia, Teases Potential Qualcomm Tie-Up

crn.com · 14 September 2026

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This text was published by crn.com and written by Dylan Martin. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Cornelis NetworksNvidiaQualcommAmazon Web ServicesAMDIntelLisa SpelmanTony Pialis

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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